2008 |
96 | EE | Francisco Martínez-Álvarez,
Alicia Troncoso Lora,
José C. Riquelme,
Jesús S. Aguilar-Ruiz:
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series.
ICDM 2008: 453-461 |
95 | EE | João Gama,
André Carlos Ponce Leon Ferreira de Carvalho,
Jesús S. Aguilar-Ruiz:
Special track on Data Streams: editorial message.
SAC 2008: 955 |
94 | EE | Alicia Troncoso Lora,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz,
Jesús M. Riquelme Santos:
Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production.
European Journal of Operational Research 185(3): 1114-1127 (2008) |
93 | EE | João Gama,
Jesús S. Aguilar-Ruiz,
Ralf Klinkenberg:
Knowledge discovery from data streams.
Intell. Data Anal. 12(3): 251-252 (2008) |
2007 |
92 | EE | Francisco Martínez-Álvarez,
Alicia Troncoso Lora,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines.
CBMS 2007: 141-146 |
91 | EE | Daniel Rodríguez,
Roberto Ruiz,
Juan Jose Cuadrado-Gallego,
Jesús S. Aguilar-Ruiz,
Miguel Garre:
Attribute Selection in Software Engineering Datasets for Detecting Fault Modules.
EUROMICRO-SEAA 2007: 418-423 |
90 | EE | Beatriz Pontes,
Federico Divina,
Raúl Giráldez,
Jesús S. Aguilar-Ruiz:
Virtual Error: A New Measure for Evolutionary Biclustering.
EvoBIO 2007: 217-226 |
89 | EE | Raúl Giráldez,
Federico Divina,
Beatriz Pontes,
Jesús S. Aguilar-Ruiz:
Evolutionary Search of Biclusters by Minimal Intrafluctuation.
FUZZ-IEEE 2007: 1-6 |
88 | EE | Federico Divina,
Jesús S. Aguilar-Ruiz:
A multi-objective approach to discover biclusters in microarray data.
GECCO 2007: 385-392 |
87 | EE | Domingo S. Rodríguez-Baena,
Norberto Díaz-Díaz,
Jesús S. Aguilar-Ruiz,
Isabel A. Nepomuceno-Chamorro:
Discovering alpha -Patterns from Gene Expression Data.
IDEAL 2007: 831-839 |
86 | EE | Juan A. Nepomuceno,
Alicia Troncoso Lora,
Jesús S. Aguilar-Ruiz,
Jorge García-Gutiérrez:
Biclusters Evaluation Based on Shifting and Scaling Patterns.
IDEAL 2007: 840-849 |
85 | EE | Isabel A. Nepomuceno-Chamorro,
Jesús S. Aguilar-Ruiz,
Norberto Díaz-Díaz,
Domingo S. Rodríguez-Baena,
Jorge García:
A Deterministic Model to Infer Gene Networks from Microarray Data.
IDEAL 2007: 850-859 |
84 | EE | Daniel Rodríguez,
Roberto Ruiz,
Juan Jose Cuadrado-Gallego,
Jesús S. Aguilar-Ruiz:
Detecting Fault Modules Applying Feature Selection to Classifiers.
IRI 2007: 667-672 |
83 | EE | Jesús S. Aguilar-Ruiz,
Raúl Giráldez,
José Cristóbal Riquelme Santos:
Natural Encoding for Evolutionary Supervised Learning.
IEEE Trans. Evolutionary Computation 11(4): 466-479 (2007) |
2006 |
82 | EE | Isabel A. Nepomuceno-Chamorro,
Juan A. Nepomuceno,
Roberto Ruiz Sánchez,
Jesús S. Aguilar-Ruiz:
Databases Reduction Simultaneously by Ordered Projection.
Discovery Science 2006: 337-341 |
81 | | Jesús S. Aguilar-Ruiz,
Domingo S. Rodríguez,
Dan A. Simovici:
Biclustering of Gene Expression Data Based on Local Nearness.
EGC 2006: 681-692 |
80 | EE | Norberto Díaz-Díaz,
Domingo S. Rodríguez-Baena,
Isabel A. Nepomuceno-Chamorro,
Jesús S. Aguilar-Ruiz:
Neighborhood-Based Clustering of Gene-Gene Interactions.
IDEAL 2006: 1111-1120 |
79 | EE | Jesús S. Aguilar-Ruiz,
Juan A. Nepomuceno,
Norberto Díaz-Díaz,
Isabel A. Nepomuceno-Chamorro:
A Measure for Data Set Editing by Ordered Projections.
IEA/AIE 2006: 1339-1348 |
78 | EE | Beatriz Pontes,
Raúl Giráldez,
Jesús S. Aguilar-Ruiz:
Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms.
KES (2) 2006: 1264-1271 |
77 | EE | Roberto Ruiz,
Beatriz Pontes,
Raúl Giráldez,
Jesús S. Aguilar-Ruiz:
Gene Ranking from Microarray Data for Cancer Classification-A Machine Learning Approach.
KES (2) 2006: 1272-1280 |
76 | EE | Jesús S. Aguilar-Ruiz,
Francisco J. Ferrer-Troyano:
Editorial message: special track on data streams.
SAC 2006: 641-642 |
75 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Data streams classification by incremental rule learning with parameterized generalization.
SAC 2006: 657-661 |
74 | EE | Federico Divina,
Jesús S. Aguilar-Ruiz:
Biclustering of Expression Data with Evolutionary Computation.
IEEE Trans. Knowl. Data Eng. 18(5): 590-602 (2006) |
73 | EE | José Cristóbal Riquelme Santos,
Macario Polo,
Jesús S. Aguilar-Ruiz,
Mario Piattini,
Francisco J. Ferrer-Troyano,
Francisco Ruiz:
A Comparison of Effort Estimation Methods for 4gl Programs: Experiences with Statistics and Data Mining.
International Journal of Software Engineering and Knowledge Engineering 16(1): 127-140 (2006) |
72 | EE | João Gama,
Pedro Pereira Rodrigues,
Jesús S. Aguilar-Ruiz:
An Overview on Learning from Data Streams.
New Generation Comput. 25(1): 1-4 (2006) |
71 | EE | Roberto Ruiz Sánchez,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Incremental wrapper-based gene selection from microarray data for cancer classification.
Pattern Recognition 39(12): 2383-2392 (2006) |
2005 |
70 | EE | Jesús S. Aguilar-Ruiz,
Federico Divina:
Evolutionary Biclustering of Microarray Data.
EvoWorkshops 2005: 1-10 |
69 | EE | Raúl Giráldez,
Jesús S. Aguilar-Ruiz:
Feature influence for evolutionary learning.
GECCO 2005: 1139-1145 |
68 | EE | Jesús S. Aguilar-Ruiz,
Federico Divina:
GA-based approach to discover meaningful biclusters.
GECCO 2005: 473-474 |
67 | EE | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Norberto Díaz-Díaz:
Analysis of Feature Rankings for Classification.
IDA 2005: 362-372 |
66 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Heuristic Search over a Ranking for Feature Selection.
IWANN 2005: 742-749 |
65 | EE | Raúl Giráldez,
Norberto Díaz-Díaz,
Isabel A. Nepomuceno-Chamorro,
Jesús S. Aguilar-Ruiz:
An Approach to Reduce the Cost of Evaluation in Evolutionary Learning.
IWANN 2005: 804-811 |
64 | EE | Jesús S. Aguilar-Ruiz,
S. Muthukrishnan:
Editorial message: special track on data streams.
SAC 2005: 553-554 |
63 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Incremental rule learning based on example nearness from numerical data streams.
SAC 2005: 568-572 |
62 | EE | Jesús S. Aguilar-Ruiz,
Federico Divina:
Evolutionary computation for biclustering of gene expression.
SAC 2005: 959-960 |
61 | EE | Jesús S. Aguilar-Ruiz:
Shifting and scaling patterns from gene expression data.
Bioinformatics 21(20): 3840-3845 (2005) |
60 | EE | Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Knowledge-based fast evaluation for evolutionary learning.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(2): 254-261 (2005) |
59 | EE | Jesús S. Aguilar-Ruiz,
Francisco J. Ferrer-Troyano:
Visual Data Mining.
J. UCS 11(11): 1749-1751 (2005) |
58 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules.
J. UCS 11(11): 1835-1848 (2005) |
57 | EE | Jesús S. Aguilar-Ruiz,
João Gama:
Data Streams J.UCS Special Issue.
J. UCS 11(8): 1349-1352 (2005) |
56 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams.
J. UCS 11(8): 1426-1439 (2005) |
2004 |
55 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Multidimensional Data Visual Exploration by Interactive Information Segments.
DaWaK 2004: 239-248 |
54 | EE | Jesús S. Aguilar-Ruiz,
Francisco Azuaje,
José Cristóbal Riquelme Santos:
Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation.
DaWaK 2004: 279-288 |
53 | EE | Jesús S. Aguilar-Ruiz,
Daniel Mateos,
Raúl Giráldez,
José Cristóbal Riquelme Santos:
Statistical Test-Based Evolutionary Segmentation of Yeast Genome.
GECCO (1) 2004: 493-494 |
52 | EE | Jesús S. Aguilar-Ruiz,
Jaume Bacardit,
Federico Divina:
Experimental Evaluation of Discretization Schemes for Rule Induction.
GECCO (1) 2004: 828-839 |
51 | | Roberto Ruiz Sánchez,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Databases Reduction.
ICEIS (2) 2004: 98-103 |
50 | EE | Jesús S. Aguilar-Ruiz,
Francisco Azuaje:
Knowledge Discovery in Lymphoma Cancer from Gene-Expression.
IDEAL 2004: 31-38 |
49 | EE | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Wrapper for Ranking Feature Selection.
IDEAL 2004: 384-389 |
48 | EE | Daniel Mateos,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Evolutionary segmentation of yeast genome.
SAC 2004: 1026-1027 |
47 | EE | Jesús S. Aguilar-Ruiz,
Raquel Costa,
Federico Divina:
Knowledge discovery from doctor-patient relationship.
SAC 2004: 280-284 |
46 | EE | Jesús S. Aguilar-Ruiz,
Paul R. Cohen:
Editorial message: special track on data streams.
SAC 2004: 625 |
45 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Discovering decision rules from numerical data streams.
SAC 2004: 649-653 |
2003 |
44 | EE | Jesús S. Aguilar-Ruiz,
Domingo S. Rodríguez-Baena,
Paul R. Cohen,
José Cristóbal Riquelme Santos:
Clustering Main Concepts from e-Mails.
CAEPIA 2003: 231-240 |
43 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
NLC: A Measure Based on Projections.
DEXA 2003: 907-916 |
42 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Mining Low Dimensionality Data Streams of Continuous Attributes.
EPIA 2003: 264-278 |
41 | EE | Jesús S. Aguilar-Ruiz,
Daniel Mateos,
Domingo S. Rodríguez:
Evolutionary Neuroestimation of Fitness Functions.
EPIA 2003: 74-83 |
40 | EE | Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Natural Coding: A More Efficient Representation for Evolutionary Learning.
GECCO 2003: 979-990 |
39 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Fast Feature Selection by Means of Projections.
IEA/AIE 2003: 461-470 |
38 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor.
International Conference on Computational Science 2003: 766-773 |
37 | | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Reduccion de Bases de Datos.
JISBD 2003: 469-478 |
36 | | Domingo S. Rodríguez,
Jesús S. Aguilar-Ruiz,
Paul R. Cohen,
José Cristóbal Riquelme Santos:
Minería de Textos y Datos aplicadas a la Extracción de Conocimiento a partir de Mensajes de Correo Electronico.
JISBD 2003: 645-654 |
35 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Fast Feature Ranking Algorithm.
KES 2003: 325-331 |
34 | EE | Jacinto Mata Vázquez,
José Luis Álvarez Macías,
José Cristóbal Riquelme Santos,
Isabel Ramos,
Jesús S. Aguilar-Ruiz,
Francisco J. Ferrer-Troyano:
Visualization Techniques of Management Rules for Software Development Projects.
QSIC 2003: 360-367 |
33 | | Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
An Efficient Data Structure for Decision Rules Discovery.
SAC 2003: 475-479 |
32 | | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Prototype-based Mining of Numeric Data Streams.
SAC 2003: 480-484 |
31 | | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Miguel Toro:
Evolutionary learning of hierarchical decision rules.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(2): 324-331 (2003) |
30 | EE | José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz,
Carmelo Del Valle:
Supervised learning by means of accuracy-aware evolutionary algorithms.
Inf. Sci. 156(3-4): 173-188 (2003) |
29 | EE | José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz,
Miguel Toro:
Finding representative patterns with ordered projections.
Pattern Recognition 36(4): 1009-1018 (2003) |
2002 |
28 | | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Carmelo Del Valle:
Improving the Evolutionary Coding for Machine Learning Tasks.
ECAI 2002: 173-177 |
27 | | Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Domingo S. Rodríguez:
Discretization by Maximal Global Goodness.
FSKD 2002: 742-746 |
26 | | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Isabel Ramos:
Natural Evolutionary Coding: An Application to Estimating Software Development Projects.
GECCO Late Breaking Papers 2002: 1-8 |
25 | EE | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
SOAP: Efficient Feature Selection of Numeric Attributes.
IBERAMIA 2002: 233-242 |
24 | EE | Carmelo Del Valle,
Miguel Toro,
Rafael Ceballos,
Jesús S. Aguilar-Ruiz:
A Pomset-Based Model for Estimating Workcells' Setups in Assembly Sequence Planning.
IBERAMIA 2002: 835-844 |
23 | | D. S. Rodríquez,
Francisco J. Ferrer-Troyano,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Is it Possible to Find a Pattern of k for the Nearest Neighbor?
IC-AI 2002: 424-428 |
22 | | José Cristóbal Riquelme Santos,
Isabel Ramos,
José Luis Álvarez Macías,
Jacinto Mata Vázquez,
Jesús S. Aguilar-Ruiz,
Francisco J. Ferrer-Troyano:
Técnicas de Visualización de Reglas de Gestión para Proyectos de Desarrollo Software.
JISBD 2002: 283-292 |
21 | | Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Daniel Mateos:
Indexación de Datos para la Evaluación Rápida de Reglas de Decisión.
JISBD 2002: 35-44 |
20 | | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Daniel Mateos:
Visualización de Consultas mediante Segementación de Dimensiones Significativas.
JISBD 2002: 45-54 |
19 | | Macario Polo,
José Cristóbal Riquelme Santos,
Mario Piattini,
Jesús S. Aguilar-Ruiz,
Francisco Ruiz,
Francisco J. Ferrer-Troyano:
Una comparativa de métodos para la estimación del esfuerzo en programmas 4GL: experiencias con Estadística y Minería de Datos.
JISBD 2002: 57-66 |
18 | | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Algoritmo de Aprendizaje de Reglas de Decisión a partir de Flujos de Datos Transaccionales.
JISBD 2002: 67-76 |
17 | EE | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Daniel Rodríguez,
Isabel Ramos:
Generation of Management Rules through System Dynamics and Evolutionary Computation.
PROFES 2002: 615-628 |
16 | EE | Rafael Corchuelo,
Jesús S. Aguilar-Ruiz,
José Luis Arjona:
A framework for extracting information with semantics from the Web - An application to knowledge discovery for Web agents.
Int. J. Comput. Syst. Signal 3(2): 12-28 (2002) |
15 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Projection-based measure for efficient feature selection.
Journal of Intelligent and Fuzzy Systems 12(3-4): 175-183 (2002) |
2001 |
14 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Non-parametric Nearest Neighbor with Local Adaptation.
EPIA 2001: 22-29 |
13 | EE | Jesús S. Aguilar-Ruiz,
Roberto Ruiz,
José Cristóbal Riquelme Santos,
Raúl Giráldez:
SNN: A Supervised Clustering Algorithm.
IEA/AIE 2001: 207-216 |
12 | EE | José Cristóbal Riquelme Santos,
Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
Roberto Ruiz:
Separation Surfaces through Genetic Programming.
IEA/AIE 2001: 428-433 |
11 | | Rafael Corchuelo,
Jesús S. Aguilar-Ruiz,
José Luis Arjona,
Miguel Toro,
José Cristóbal Riquelme Santos:
Orientando a Aspectos la captura de datos de Internet para activar Reglas de Decisión en Agentes Web.
JISBD 2001: 113-128 |
10 | | José Cristóbal Riquelme Santos,
Isabel Ramos,
Jesús S. Aguilar-Ruiz,
Francisco J. Ferrer-Troyano,
Miguel Toro,
José Javier Dolado,
A. Ruiz de Infante,
Javier Tuya,
P. Fernández,
M. A. Prieto,
Mercedes Ruiz Carreira,
D. Rodriguez-García,
Manoranjan Satpathy,
Rachel Harrison,
R. Matilla,
M. A. Álvarez:
SEGESOFT: Entorno de Entrenamiento para la Gestión de Proyectos Software.
JISBD 2001: 131-144 |
9 | EE | Jesús S. Aguilar-Ruiz:
Removing examples and discovering Hierarchical Decision Rules: With Evolutionary Algorithms.
AI Commun. 14(4): 231-233 (2001) |
8 | | Jesús S. Aguilar-Ruiz,
Isabel Ramos,
José Cristóbal Riquelme Santos,
Miguel Toro:
An evolutionary approach to estimating software development projects.
Information & Software Technology 43(14): 875-882 (2001) |
7 | EE | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Miguel Toro:
Data set Editing by Ordered Projection.
Intell. Data Anal. 5(5): 405-417 (2001) |
2000 |
6 | | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Miguel Toro:
Data Set Editing by Ordered Projection.
ECAI 2000: 251-255 |
5 | EE | José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz,
Miguel Toro:
Discovering hierarchical decision rules with evolutive algorithms in supervised learning.
Int. J. Comput. Syst. Signal 1(1): 73-84 (2000) |
1999 |
4 | | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Miguel Toro:
Three Geometric Approaches for representing Decision Rules in a Supervised Learning System.
GECCO 1999: 771 |
1998 |
3 | EE | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Miguel Toro:
Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes.
IBERAMIA 1998: 326-336 |
2 | | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Miguel Toro:
A Tool to Obtain a Hierarchical Qualitative Rules form Quantitative Data.
IEA/AIE (Vol. 1) 1998: 336-346 |
1 | | José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz,
Miguel Toro:
Una herramienta basada en algoritmos genéticos para obtener un clasificador jerárquico en aprendizaje supervisado.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 5: 38-43 (1998) |